About
SkyDeLake is a field journal charting two disciplines: technology and mathematics. On the technology side — data engineering pipelines, generative and agentic AI systems, and the infrastructure that keeps them running. On the mathematics side — concepts from school level up through calculus, statistics, proofs, and applied maths, explained the way you'd want to encounter them the first time.
The name comes from the shape of the project: a sky full of separate topics, charted like stars, reflected in a single still lake of notes. Every tutorial series is a constellation — pick a starting point, and the path to the next idea is already drawn for you.
Blog posts — shorter write-ups on data tools, model choices, mathematical concepts, and the small decisions behind building reliable systems and solving hard problems clearly.
Tutorials — paired video and written walkthroughs on building things end to end: data pipelines, retrieval-augmented generation, agent workflows, and step-by-step mathematical workings grouped into learning paths.
Mathematics — a dedicated section covering school concepts (algebra, geometry, trigonometry, calculus) through to statistics, proofs, and applied mathematics — written for learners at every level.
Data engineering (pipelines, warehousing, orchestration), generative AI (LLMs, prompting, evaluation), agentic AI (tool use, multi-step agents, memory), and the MLOps layer that keeps it all running in production.
Arithmetic and number theory, algebra and equations, geometry and trigonometry, calculus (differentiation and integration), statistics and probability, proofs and logic, and applied mathematics across science and engineering problems.
SkyDeLake is open to contributors — whether you work in data and AI or teach mathematics. If you have a concept worth charting clearly, get in touch.
Have a topic you'd like covered, or found something that needs fixing? Send a note — every message is read.